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05/05/2016: Machine Learning for Artists / ITP-NYU – Spring 2016

machine learning / resource

Machine Learning for Artists / ITP-NYU – Spring 2016

The following is a documentation of a new course ran by Gene Kogan on Machine Learning for Artists at ITP-NYU in spring 2016.

05/05/2016

Members / News

❮ Machine Learning for Artists / ITP-NYU – Spring 2016 ❯

The following is a documentation of a new course ran by Gene Kogan on Machine Learning for Artists at ITP-NYU in spring 2016.

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CreativeApplications.Net [CAN] is a community of creative practitioners working at the intersection of art, media and technology. Since 2008, CAN has been at the forefront of innovation—facilitating and contributing to the conversation about culture, society and critical making. CAN is also known for uncovering and contextualising noteworthy work featured on the festival and gallery circuit, executed within the commercial realm or developed as academic research. From online and offline publications to live events, CAN’s initiatives have played an instrumental role in the ideation, development and critique of a multitude of computational tools, projects and collaborations — always promoting critical dialogue, disciplinary interstices, knowledge sharing and feedback + response in diverse media. Join us today by becoming a Member.

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Join us and access more than 3,500 projects from thousands of cross-disciplinary artists working with technology.

Since 2008, CAN has been at the forefront of innovation – facilitating and driving the conversations about technology, society and critical making. From online/offline publications to live events, CAN’s initiatives have played an instrumental in shaping the innovative creative practices we know today.